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$ diff gemini-3-7-flash minimax-m3

Gemini 3.7 Flash vs MiniMax M3

Values come from Gemini 3.7 Flash and MiniMax M3, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Context window
Identical — both accept 1M tokens, so context length is not a reason to pick either.
Input price
MiniMax M3 at $0.3/M against $0.75/M — 2.5× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
MiniMax M3 at $1.2/M against $3.75/M — 3.1× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
MiniMax M3 publishes weights (Open-weight (HuggingFace)); Gemini 3.7 Flash is API-only. That decides self-hosting, air-gapped deployment and fine-tuning before any capability question does.
Recency
Gemini 3.7 Flash shipped 73 days after MiniMax M3 (2026-08-13 vs 2026-06-01).

Full spec

AttributeGemini 3.7 FlashMiniMax M3
DeveloperGoogle DeepMindMiniMax
Released2026-08-132026-06-01
Context window1,000,000 tokens (64,000 max output)1,000,000 tokens (1M); min. 512K guaranteed
Pricing$0.75/M input · $3.75/M output (introductory, through 2026-12-31) · $1.50/M · $7.50/M from 2027-01-01$0.30/M input · $1.20/M output ($0.06/M cached input) — OpenRouter catalogue, read 2026-07-28
LicenseproprietaryOpen-weight (HuggingFace)
AvailabilityGemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, Spark in the Gemini app (AI Pro and Ultra)API (global, including English) + open-weight on HuggingFace

How these pages are produced

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